text: # Copyright 2019 The FastEstimator Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  import inspect
  import re
  import sys
  from typing import TYPE_CHECKING
  
  if sys.platform == 'darwin':
      # Block the tkinter module from being imported on Mac. This is necessary in order for Mac multiprocessing to work,
      # since other modules such as nltk import tkinter, and it seems more likely that AI developers will need
      # multiprocessing than tkinter.
      sys.modules['tkinter'] = None
  
  # Fix known bugs with libraries which use multiprocessing in a way which conflicts with pytorch data loader
  import cv2
  cv2.setNumThreads(0)
  try:
      import SimpleITK as sitk
      sitk.ProcessObject.SetGlobalDefaultNumberOfThreads(1)
  except ModuleNotFoundError:
      pass
  
  import lazy_loader as lazy
  
  __getattr__, __dir__, __all__ = lazy.attach(__name__,
                                              submodules={'architecture', 'backend', 'dataset', 'layers', 'op',
                                                          'schedule', 'search', 'summary', 'trace', 'util', 'xai'},
                                              submod_attrs={'estimator': ['Estimator', 'enable_deterministic',
                                                                          'record_history'],
                                                            'network': ['Network', 'build'],
                                                            'pipeline': ['Pipeline']})
  
  if TYPE_CHECKING:
      # Allow IDEs to play nice with lazy loading
      from fastestimator import architecture, backend, dataset, layers, op, schedule, search, summary, trace, util, xai
      from fastestimator.estimator import Estimator, enable_deterministic, record_history
      from fastestimator.network import Network, build
      from fastestimator.pipeline import Pipeline
  
  __version__ = '1.5.0'
  fe_deterministic_seed = None
  fe_history_path = None  # Where to save training histories. None for ~/fastestimator_data/history.db, False to disable
  fe_build_count = 0
  
  # Disable history logging for tests by default (they can still turn it on/off manually in setUpClass/tearDownClass)
  if __name__ != '__main__':
      for frame in inspect.stack()[1:]:
          if frame.filename[0] != '<':  # Filenames starting with '<' are internal
              # frame.filename will be the name of the file which is currently importing FE
              if re.match('.*/test/PR_test/.*test_.*\\.py', frame.filename):
                  fe_history_path = False
              break
  